{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'TCHEM_INSTALL_PATHexample/runs/PlugFlowReactor/CH4-PTnogas'"
      ]
     },
     "execution_count": 1,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "from mpl_toolkits.axes_grid1.inset_locator import zoomed_inset_axes\n",
    "from mpl_toolkits.axes_grid1.inset_locator import mark_inset\n",
    "from mpl_toolkits.axes_grid1 import host_subplot\n",
    "import mpl_toolkits.axisartist as AA\n",
    "import numpy as np\n",
    "import os\n",
    "os.getcwd() "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "data = np.genfromtxt(\"PFRSolution.dat\", dtype=str)\n",
    "Header = (data[0,:]).tolist()\n",
    "solTchem = (data[1:,:]).astype(np.float)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "def makefigure3(x, y1, y2, y3, info, figure_name='TempDensVelPFR' ):\n",
    "    \n",
    "    label1 = info['label1']['label']\n",
    "    label2 = info['label2']['label']\n",
    "    label3 = info['label3']['label']\n",
    "    \n",
    "    ylabel1 = label1 + info['label1']['units']\n",
    "    ylabel2 = info['label2']['units']\n",
    "    \n",
    "    fig = plt.figure()\n",
    "    host = AA.Axes(fig, [0.1, 0.1, 0.8, 0.8]) \n",
    "    fig.add_axes(host)\n",
    "\n",
    "    par1 = host.twinx()\n",
    "\n",
    "    host.set_xlabel(\"Position [m]x1e-2\")\n",
    "    host.set_ylabel(ylabel1)\n",
    "    par1.set_ylabel(ylabel2)\n",
    "\n",
    "    p1 = host.plot(x, y1,'r-', label=label1)\n",
    "    p2 = par1.plot(x, y2,'b-', label=label2)\n",
    "    p3 = par1.plot(x, y3,'g-', label=label3)\n",
    "\n",
    "    loc_x = info['loc_x']\n",
    "    loc_y = info['loc_y']\n",
    "    \n",
    "    par1.set_xlim(info['xlim'])\n",
    "\n",
    "    # added these three lines\n",
    "    lns = p1+p2+p3\n",
    "    labs = [l.get_label() for l in lns]\n",
    "    host.legend(lns, labs, bbox_to_anchor=(loc_x, loc_y),frameon=False)\n",
    "\n",
    "    inset = AA.Axes(fig, [info['inset_x1'], info['inset_y1'], info['inset_x2'], info['inset_y2']]) \n",
    "    fig.add_axes(inset)\n",
    "    inset.plot(x, y1,'r.-')\n",
    "    inset.set_yticks([])\n",
    "    par2 = inset.twinx()\n",
    "    par2.set_yticks([])\n",
    "    par2.plot(x, y2,'b.-')\n",
    "    par2.plot(x, y3,'g.-')\n",
    "\n",
    "    inset.set_xlim(info['xlim2'])\n",
    "    \n",
    "    mark_inset(host, inset, loc1=2, loc2=4, fc=\"none\", ec=\"0.75\")\n",
    "        \n",
    "    plt.xticks(visible=False)\n",
    "    plt.yticks(visible=False)\n",
    "    \n",
    "    plt.savefig(figure_name,bbox_inches='tight')\n",
    "    return "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "def makePlot(x, y1, y2, y3, info, fig_name):\n",
    "    loc_x = info['loc_x']\n",
    "    loc_y = info['loc_y']\n",
    "    \n",
    "    ys1 = info['label1']['scale']\n",
    "    ys2 = info['label2']['scale']\n",
    "    ys3 = info['label3']['scale']\n",
    "    \n",
    "    label1 = info['label1']['label'] + ' x'+str(ys1)\n",
    "    label2 = info['label2']['label'] + ' x'+str(ys2)\n",
    "    label3 = info['label3']['label'] + ' x'+str(ys3)\n",
    "    \n",
    "    fig, ax = plt.subplots(figsize=[5,4])\n",
    "    p1 = ax.plot(x, y1/ys1,'r-',label = label1)\n",
    "    p2 = ax.plot(x, y2/ys2,'g-',label = label2)\n",
    "    p3 = ax.plot(x, y3/ys3,'b-',label = label3)\n",
    "    plt.xlabel(info['xlabel'])\n",
    "    plt.ylabel(info['ylabel'])\n",
    "    \n",
    "    plt.xlim(info['xlim'])\n",
    "    plt.ylim(info['ylim'])\n",
    "    \n",
    "    \n",
    "    axins = zoomed_inset_axes(ax, info['zoom_scale'], loc =1) # zoom = 2\n",
    "    axins.plot(x,y1/ys1,'r.-')\n",
    "    axins.plot(x,y2/ys2,'g.-')\n",
    "    axins.plot(x,y3/ys3,'b.-')\n",
    "    \n",
    "    # sub region of the original image\n",
    "    x1, x2, y1s, y2s = info['zoom']#0.0042, 0.0052, 0.0, 0.3\n",
    "    axins.set_xlim(x1, x2)\n",
    "    axins.set_ylim(y1s, y2s)\n",
    "    # added these three lines\n",
    "    lns = p1+p2+p3\n",
    "    labs = [l.get_label() for l in lns]\n",
    "    ax.legend(lns, labs, bbox_to_anchor=(loc_x, loc_y),frameon=False)\n",
    "    \n",
    "    \n",
    "    plt.xticks(visible=False)\n",
    "    plt.yticks(visible=False)\n",
    "    \n",
    "    # draw a bbox of the region of the inset axes in the parent axes and\n",
    "    # connecting lines between the bbox and the inset axes area\n",
    "    mark_inset(ax, axins, loc1=2, loc2=4, fc=\"none\", ec=\"0.75\")\n",
    "    plt.draw()\n",
    "    plt.savefig(fig_name,bbox_inches='tight')\n",
    "    \n",
    "    return"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "def makePlotV2(x, y1, y2, y3, info, fig_name):\n",
    "    loc_x = info['loc_x']\n",
    "    loc_y = info['loc_y']\n",
    "    \n",
    "    ys1 = info['label1']['scale']\n",
    "    ys2 = info['label2']['scale']\n",
    "    ys3 = info['label3']['scale']\n",
    "    \n",
    "    label1 = info['label1']['label'] + ' x'+str(ys1)\n",
    "    label2 = info['label2']['label'] + ' x'+str(ys2)\n",
    "    label3 = info['label3']['label'] + ' x'+str(ys3)\n",
    "    \n",
    "    fig, ax = plt.subplots(figsize=[5,4])\n",
    "    p1 = ax.plot(x, y1/ys1,'r-',label = label1)\n",
    "    p2 = ax.plot(x, y2/ys2,'g-',label = label2)\n",
    "    p3 = ax.plot(x, y3/ys3,'b-',label = label3)\n",
    "    plt.xlabel(info['xlabel'])\n",
    "    plt.ylabel(info['ylabel'])\n",
    "    \n",
    "    plt.xlim(info['xlim'])\n",
    "    plt.ylim(info['ylim'])\n",
    "    \n",
    "    \n",
    "#     axins = zoomed_inset_axes(ax, info['zoom_scale'], loc =1) # zoom = 2\n",
    "    \n",
    "    axins = ax.inset_axes(info['loc_zoom'])\n",
    "#     axins = ax.inset_axes(ax, 1,1 , loc=2,bbox_to_anchor=(0.2, 0.55),bbox_transform=ax.figure.transFigure)\n",
    "    axins.plot(x,y1/ys1,'r.-')\n",
    "    axins.plot(x,y2/ys2,'g.-')\n",
    "    axins.plot(x,y3/ys3,'b.-')\n",
    "    \n",
    "    # sub region of the original image\n",
    "    x1, x2, y1s, y2s = info['zoom']\n",
    "    axins.set_xlim(x1, x2)\n",
    "    axins.set_ylim(y1s, y2s)\n",
    "    axins.set_yticks([])\n",
    "    axins.set_xticks([])\n",
    "    # added these three lines\n",
    "    lns = p1+p2+p3\n",
    "    labs = [l.get_label() for l in lns]\n",
    "    ax.legend(lns, labs, bbox_to_anchor=(loc_x, loc_y),frameon=False)\n",
    "    \n",
    "    \n",
    "#     axins.xticks(visible=False)\n",
    "#     axins.yticks(visible=False)\n",
    "    \n",
    "    # draw a bbox of the region of the inset axes in the parent axes and\n",
    "    # connecting lines between the bbox and the inset axes area\n",
    "    mark_inset(ax, axins, loc1=2, loc2=4, fc=\"none\", ec=\"0.75\")\n",
    "    plt.draw()\n",
    "    plt.savefig(fig_name,bbox_inches='tight')\n",
    "    \n",
    "    return\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "['iter', 't', 'dt', 'Density[kg/m3]', 'Pressure[Pascal]', 'Temperature[K]', 'N2', 'AR', 'HE', 'NE', 'CH4(2)', 'O2(3)', 'NO(4)', 'H2(5)', 'H2O(11)', 'CO2(12)', 'CO(14)', 'OH(D)(27)', 'H(32)', 'NO2J(49)', 'HO2(72)', 'X(1)', 'HX(6)', 'OX(7)', 'CH3X(8)', 'HOX(9)', 'H2OX(10)', 'CO2X(13)', 'OCX(15)', 'CX(16)', 'CH2X(17)', 'CHX(18)', 'CH4X(19)', 'NOX(20)', 'NO2X(21)', 'HO2X(28)', 'CHOX(45)', 'CHO2X(46)', 'COX(47)', 'H2X(48)', 'NO2X(59)', 'velocity[m/s]']\n"
     ]
    }
   ],
   "source": [
    "print(Header)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 4 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "info={}\n",
    "info['label1'] = {'label':'Temperature','units':' [K]'}\n",
    "info['label2'] = {'label':'Density','units':' [kg/m3] or [m/s]'}\n",
    "info['label3'] = {'label':'Velocity','units':' [m/s]x1e-2'}\n",
    "info['loc_x'] = 0.28\n",
    "info['loc_y'] = 0.5\n",
    "info['xlim'] = [0.,0.025*1e2]\n",
    "info['xlim2'] = [0.65,0.78]\n",
    "info['inset_x1'] = 0.58\n",
    "info['inset_y1'] = 0.3\n",
    "info['inset_x2'] = 0.3\n",
    "info['inset_y2'] = 0.4\n",
    "x  = solTchem[:,Header.index('t')]\n",
    "y1 = solTchem[:,Header.index('Temperature[K]')]\n",
    "y2 = solTchem[:,Header.index('Density[kg/m3]')]\n",
    "y3 = solTchem[:,Header.index('velocity[m/s]')]\n",
    "makefigure3(x*100, y1, y2, y3*1e2, info, figure_name='TempDensVelPFR.pdf')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 360x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "info={}\n",
    "info['xlabel'] = 'Position [m] x1e-2'\n",
    "info['ylabel'] = 'Mass Fraction'\n",
    "info['zoom'] = [0.55, 0.8, 0.0, 0.012]\n",
    "info['loc_x'] = 0.5\n",
    "info['loc_y'] = 0.75\n",
    "info['zoom_scale'] = 3\n",
    "info['xlim'] = [0.,0.02*100]\n",
    "info['ylim'] = [0.,0.025]\n",
    "info['loc_zoom'] = [0.5, 0.1, 0.47, 0.6]\n",
    "info['label1'] = {'label':'CH4','scale':1}\n",
    "info['label2'] = {'label':'OH','scale':1e-2}\n",
    "info['label3'] = {'label':'CO','scale':5e-2}\n",
    "y1 = solTchem[:,Header.index('CH4(2)')]\n",
    "y2 = solTchem[:,Header.index('OH(D)(27)')]\n",
    "y3 = solTchem[:,Header.index('CO(14)')]\n",
    "\n",
    "makePlotV2(x*100, y1, y2, y3, info, 'gas1.pdf')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 360x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "info={}\n",
    "info['label1'] = {'label':'O2','scale':1}\n",
    "info['label2'] = {'label':'H2','scale':5e-6}\n",
    "info['label3'] = {'label':'HO2','scale':5e-6}\n",
    "info['xlabel'] = 'Position [m] x1e-2'\n",
    "info['ylabel'] = 'Mass Fraction'\n",
    "info['zoom'] = [0.7, 0.85, 0.05, 0.12]\n",
    "info['loc_x'] = 0.5\n",
    "info['loc_y'] = 0.95\n",
    "info['zoom_scale'] = 1.5\n",
    "info['xlim'] = [0.,0.02*100]\n",
    "info['ylim'] = [0.,0.2]\n",
    "info['loc_zoom'] = [0.5, 0.1, 0.47, 0.6]\n",
    "\n",
    "y1 = solTchem[:,Header.index('O2(3)')]\n",
    "y2 = solTchem[:,Header.index('H2(5)')]\n",
    "y3 = solTchem[:,Header.index('HO2(72)')]\n",
    "makePlotV2(x*100, y1, y2, y3, info, 'gas2.pdf')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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EK/VfKAeq/K2uV1nBLwFeVtWuwATgnyJylE2qOkdV01U1vX379iEw1VJrUlKaxOi/xRJsQimqW4FuPsddObp5fxXwHwBVzQYSgaNXOLNEHrb5b7H4JZSiugDoKyK9RCQeuBj4oFKZLcBYABHpjxFVm/qoMWBF1WLxS8hEVVXLgOnA58Aq4D+qukJE7haRc93FbgWuEZFfgdeAKzRUnbyW4NK8ORw5Em4rLJaII6RxqmpiTj+pdO5On/2VgF2svDGSmAglJWZ5cD9LJ1ss0YqdUWWpG4mJ5rO4OLx2WCwRhhVVS93wiGpRUXjtaKTk5eVx8cUX06dPHwYMGMCECRNYu3YtOTk5DBo0qELZmTNn8vDDD1c49/DDDyMi7NmzB4BHHnmEq666ynv9X//6F2eddVadbFNVbrzxRtLS0hgyZAiLFy/2W27RokUMHjyYtLQ0brzxRu801b1793L66afTt29fTj/9dPbt2wdAVlYWLVu29KYArGlqbmPFiqqlbrinHVpRrT2qynnnnUdmZiYbNmxg5cqV/N///R87d+4M6P7c3Fy++OILunfv7j134403smjRIn788Uf279/PHXfcwZNPPlkn+z799FPWrVvHunXrmDNnDtOmTfNbbtq0acyZM8db9rPPPgPg/vvvZ+zYsaxbt46xY8dy//3ls9NPOukkb76DO++802+9jR0rqpa6YT3VOvPNN98QFxdXIVnzsGHDAs7cdMstt/Dggw9WSLASGxvLM888ww033MCMGTOYMmUKvXv3rraeRx55hClTpgAmF8CgQYMoKCjg/fffZ/LkyYgIJ5xwAvv372fHjh0V7t2xYwcHDx4kIyMDEWHy5MneWVa+KQAvv/xyv7OvmjI29Z+lbjQRUb35Zgh27uRhw+CxavK0LF++/KjUfr5s2LChQlrAvLw8b+LoDz74gC5dujB06NCj7hs9ejT9+/fnyy+/ZNWqVTXaefPNN5OZmcm7777Lvffey+zZs2nWrFmFFH4AXbt2Zdu2baSmpnrPbdu2ja5dux5VBmDnzp3esqmpqezatctbLjs7m6FDh9K5c2cefvhhBg4cWKOdjQ0rqpa6YQeqQkblLPkzZ84EoKCggHvvvZd58+b5ve/w4cMsXLiQ0tJSdu/eXUH0/BETE8PLL7/MkCFDuPbaaxkzxgTi+ItqlEoRHoGUqcyIESPYvHkzycnJfPLJJ0yaNMlvCsHGjhVVS91oIp5qdR5lqBg4cCBvvfVWre/bsGEDmzZt8nqpW7duZcSIEd5lVu666y4uvfRSOnbsyC233BLQulXr1q0jOTm5QgpATwo/D1u3bqVz584V7uvatStbt271W6Zjx47s2LGD1NRUduzYQQf3kuYtWrTwlp8wYQLXX389e/bs8a5w0FSwfaqWutFERDUcnHrqqRQXF/Pcc895zy1YsIBvv/222vsGDx7Mrl27yMnJIScnh65du7J48WI6derEsmXL+Pjjj/nLX/7C1KlT2bx5M1988UW19R04cICbbrqJ7777jvz8fK/Qn3vuucydOxdVZf78+bRs2bJC0x9Msz4lJYX58+ejqsydO5eJEyd67/esUvDKK694z+fl5Xk93F9++QWXy0Vbz3LnTYlg5A9syM3mU40QfvpJFVQ/+yzcljRKtm3bphdeeKH27t1bBwwYoBMmTNC1a9fqpk2bdODAgRXK3nXXXfrQQw8dVUePHj109+7d6nK5dMyYMfrJJ594ry1YsED79++vxcXFVdpw5ZVX6uOPP66qqlu2bNE+ffrozp071eVy6fXXX6+9e/fWQYMG6YIFC7z3DB06tMIzBg4cqL1799YbbrhBXS6Xqqru2bNHTz31VE1LS9NTTz3Vmzv1ySef1AEDBuiQIUN01KhR+uOPP9bhzYUOgpRPNWSp/0JFenq6Lly4MNxmWJYsgREj4L33wO2JWCyNmcaQ+s/SlLHNf4vFL1ZULXXDiqrF4hcrqpa6YUXVYvGLFVVL3bBxqhaLX6yoWuqG9VQtFr9YUbXUjQhPqFJcXFwhON1iaSjsjCpL3YiJgbi4iBRVp9PJ8uXLadeuHe3ataNnz57hNil6OHIE1qwpT15+7LFmlYgIICcnx5sqMZRYUbXUncTEiBNVVWXNmjUkJSXRvXt3evbsiY1rbmDmzoXLL4d77oHbbw+3NV7S0+sdghoQtvlvqTsRKKpbtmyhsLCQY489tsYEH5YQMWmS+fzhB8jODq8tYcCKqqXuRJio7tmzh23btjFo0CAcDke4zYleVqwwn59/DmPHRp2wWlG11J2EhIgJqTp8+DBr1qxh0KBBJHgG0SzhISvLfKqaxSE9x1GCFVVL3YmPN780YaakpITly5eTlpZWIb2cJUxkZoKnpRAfb46jCCuqlroTAZ6qy+VixYoVdOjQgY4dO4bVFoubjAw44wyzP2uWOY4irKha6k6YRVVVWbduHbGxsfTq1StsdlgqkZ0NX35p9v/0J9unarEETHx8WEV127ZtHDx4kP79+9uR/kgiKwucTrNv+1QtllqQkBC2PtW9e/eyefNmBg0aRGysDbeOKDIzzR9cMH2rtk/VYgmQMDX/CwoKWLVqFQMHDiQpKanBn2+pgYwM+PprSEqCKOyWsaJqqTthENXS0lKWLVtGr169aNWqVYM+21JLioth7dqoi1W1omqpOw3cp6qqrFq1itatWx+1uqclwsjKMnGqEHX9qlZULXWngftUN2zYgMvlIi0trcGeaakjmZng6euOi4uqftUaRVVEzheRdSJyQEQOisghETnYEMZZIpwGbP7v2LGD/Px8Bg4cSEyM9QUinowM+Mc/zP7JJ4fXlgYmkG/ng8C5qtpSVVuoaoqq2mkrlgZr/h84cICNGzcyaNAg4uLiQv48S5DwDFLNmxdV/aqBiOpOVV0VckssjY8GaP4XFRWxYsUK+vXrR/MIyctpCZCffzafUZYDIJAAv4Ui8gbwHuB1S1T1nZBZZWkchLj573Q6WbZsGV27dqVt27Yhe44lRGRmmmTmLldUxasG4qm2AAqAM4Bz3NvZgVQuIuNFZI2IrBeR26oo818islJEVojIvwM13BIBJCSYmTOe2TNBxDPSn5ycTLdu3YJev6WBiML+7xo9VVW9si4Vi4gDeBo4HdgKLBCRD1R1pU+ZvsBfgTGquk9EOtTlWZYw4Zk1U1wMzZoFteqcnBxKSkoYOnSonYLaWMnKMl4qQFmZOY6C5CqBjP53FZF3RWSXiOwUkbdFpGsAdR8PrFfVjapaArwOTKxU5hrgaVXdB6Cqu2r7A1jCiCdvaZD7VXft2kVeXh4DBw60yaYbM5mZ5d8RgCjpwgnEN38J+ADoDHQBPnSfq4kuQK7P8Vb3OV+OAY4RkR9FZL6IjPdXkYhMFZGFIrJw9+7dATza0iB4fmGC2K966NAh1q1bZ5NNNwUyMuCxx8wCgC4X3HxzVEQABCKq7VX1JVUtc28vA+0DuM9fm00rHccCfYFM4BLgeRE5au6hqs5R1XRVTW/fPpBHWxoE3+Z/EPAkm+7bty8pKSlBqdMSZvLzy/ejJAIgEFHdIyKXiojDvV0K5Nd4l/FMfUcYugLb/ZR5X1VLVXUTsAYjspbGQBA9VZfLxfLly+nUqRMdOtiu9SaDb8YqiIougEBEdQrwX0AesAO4wH2uJhYAfUWkl4jEAxdjuhF8eQ84BUBE2mG6AzYGZrol7ASpT9WzrHR8fDw9e/asv12WyMHTBQAmSiQKugACGf3fApxb24pVtUxEpgOfAw7gRVVdISJ3AwtV9QP3tTNEZCXgBP5HVQPxgi2RQJA81a1bt3L48GFGjBhhR/qbIvv2le97ugCacBRAlaIqIjNU9UEReZKj+0JR1RtrqlxVPwE+qXTuTp99Bf7k3iyNjSD0qebn55Obm8uIESPsSH9TxdMFUFJikqw08UkA1XmqnqmpCxvCEEsjpJ7N/yNHjrB69WoGDRpEYmJiEA2zRBQZGfD553D66dC7d7itCTlViqqqfujeLVDVN32viciFIbXK0jioR/O/tLSU5cuX07t3b1q2bBlkwywRR0KCyQGwapVJrvLVV022CyCQgaq/BnjOEm3UsfnvWVa6bdu2pKamhsAwS8Thm7S6uLhJh1ZV16d6JjAB6CIiT/hcagGUhdowSyOgjp7qhg0bEBF6R0FT0OLGM7uqsNCI65YtJgqgCXqr1Xmq2zH9qUXAIp/tA2Bc6E2zRDx16FPdvn07e/fuZcCAATbZdDSRkWGa/CecYER1zpwmm2O1uj7VX4FfReRd4IiqOsGbKMXOH7TU2lPdv38/mzZtYvjw4TbZdDSSkQGnnQbz55tpq000vCoQV2Ee4LsOcBLwZWjMsTQqatGnWlhYyIoVK+jfvz/NgpzRytKImDChfO0qaJIzrAIR1URVPew5cO/b3wpLwJ5qWVkZy5cvp0ePHrRp06YBDLNELBkZMGuW2W+iM6wCEdUjIjLCcyAiI4HC0JlkaTQE0KfqSTbdokULunSpnKTMEpUcOWIyVwEUFcHcueG1J8gEspzKzcCbIuJJhpIKXBQ6kyyNhgCa/5s2baKsrIyBAwfaKagWQ2amWba6pMQMWj3/vDk/eXKT6F+t0VNV1QVAP2AacD3QX1UXhdowSyMgNtZ4HFWI6s6dO9m1a5ddVtpSkYwMmDKl3FstK4PZs5tMNECg3/RjgQHAcOASEZkcOpMsjQaRKhf/O3jwIOvXr2fQoEHE+6Z+s1jAeKWJieXCqtpkugICWU7lLuBJ93YK8CB1yFplaaL4Waa6uLiY5cuXc8wxx5CcnBwmwywRjSdu9dprzUqrUB6/et55jdpjDcRTvQAYC+S5FwEcio1TtXiIj6/gqTqdTpYvX06XLl2wqzRYqiUjA/7xD7jmmvJzLhe89x6cfDJMm9YoxTUQUS1UVRdQJiItgF2AnV9oMfg0/z3JppOSkujevXuYDbM0GiZPrhi7ClBaCs8+Cyed1Og810BEdaF73ajnMNNUFwO/hNQqS+PBp/m/ZcsWCgoKOPbYY+1IvyVwMjLg6afLuwF8cTqN5/q738GkSUZgI9yDrTakSsxvxn2quh94VkQ+A1qo6m8NYp0l8nE3//fs2cO2bdsYOXKkTTZtqT1Tp8LgwWagKi8PPvzQCKqHsjJ4//3y4+eeM/lZExIgNRWGD4clS8y9nTqVH4PZz8838bENQLWiqqoqIu8BI93HOQ1hlKURkZDA4ZQU1qxZw+DBg+2y0pa6k5FRHqc6Zw5cf31FYfXF6YTPPgu87gZsOQUS/D9fRI5zx6taLBUoad2a5eecQ58+fWjRokW4zbE0crJzs8nKyaLtyLYsefYc8tYvpdNhGP7LFpZ0cJHXHDodgeE7YEkqNR6D2c9vphxpoE7LQET1FOBaEdkMHAEE48QOCalllojH5XKx4rLLaL9iBZ3OOy/c5lgaEdm52cz91cSkDk8dzuIdi/kt7zd+2f4LTvXxTpPc21n4WSmvdsiG+t0fKIGI6pkht8LS6FBV1q1bR2xZGb0//RTuuCPcJlkiHI8Xur94P7N+mlVRPAOhni34empywFSX+f98VX1HVTeLSGtV3VdVWUv0sX37dg4cOMCITz9FiorCbY4lwpmzaA43fHIDZa7wLBoSIzGoNIysVuep3gG8497/ChhRTVlLFLFv3z5ycnIYMWIEsdXM/bdYsnOzue+H+/hw7Yc1F3bjEAe3jr6Vg0UHyTucR6fkTgxPHc6SHUtqfQymeyG/IJ+5bzXMFNjqRFWq2LdEMQUFBaxcuZIBAwaQlJRUvp67xVKJOYvmMO2jabhwHXVNEGIkhnOOPYcz086sIIiTh04mo1vws1W9Hf920Ov0R3WimiQiwzETBBLd+15xVdXFoTbOEll4kk337NmT1q1bm5NVJFSxRDdzFs3huo+uQyv1ZMZIDH8e/WdaJbQis2dmSMQz3FQnqjuAR9z7eT77YPp8Tw2VUZbIQ1VZuXIlrVq1qphs2oqqpRLZudlc//H1RwmqIPzjrH8wdeTUMFnWMFS38N8pDWmIJbLZuHEjLpeLtLS0ihf8ZKmyRDcP/vTgUSP7MRITFYIKgYVUWaKcvLw8du/ezciRI49ONl0pS5UlusnOzeb91XPH7B4AACAASURBVO9XODeg3QCeP/f5JtnU94dNx26plgMHDrBhwwYGDx7sf1lp2/y3+PDKr69UaPbHEBNVggpWVC3VUFRUxIoVK+jXrx/Nmzf3XyghwczDrmqOtiWq+C2vYq6lc489N6oEFQLL/C8icqmI3Ok+7i4ix4feNEs48SSb7tq1K22rW5vds1SK7VeNerJzs5m/bb73OC4mjhljZoTRovAQiKf6DJABXOI+PgQ8HTKLLGFHVVm9ejXNmzenW7du1Rf2ZKWyXQBRz1O/POVt+gvCVcOvijovFQIT1VGqegNQBOCermpXcmvCbN68meLiYo455piak01bUbVgvNQ3VrzhPY53xDN5aHSuDxqIqJaKiAN3PgIRaQ9+pkhYmgS7d+9mx44dDBw4MLBk01ZULUBWTpY3jEoQrhx2ZVR6qRCYqD4BvAt0EJF7gR+A+0JqlSUsHDp0iLVr1zJo0KDAk03bPlULUOIs//9XlOGpw8NoTXipUVRV9V/ADIyQ7gAmqep/AqlcRMaLyBoRWS8it1VT7gIRURFJD9RwS3ApKSlh+fLl9O3bl5SUlMBvtJ6qBZi3YZ53P4YY8gvyw2hNeKkx+F9E/qmqlwGr/Zyr7j4HZkDrdGArsEBEPlDVlZXKpQA3Aj/XwX5LEHC5XCxfvpxOnTrRoUOH2t2cmGg+bfq/qCU7N5vsreUL8cU54sjsmRk+g8JMIM3/gb4HbrEcGcB9xwPrVXWjqpYArwMT/ZS7B3gQ90CYpWFRVdauXUt8fDw9e/asfQWe+NUGWlTNEnl8venrCqP+0dyfCtWIqoj8VUQOAUNE5KCIHHIf7wLer+o+H7oAuT7HW93nfJ8xHOimqh9VV5GITBWRhSKycPfu3QE82hIoW7du5dChQ/Tr169uy0p7RPXw4eAaZmk0HC4x//eCkBibGLWj/h6qFFVVvU9VU4CHVLWFqqa4t7aq+tcA6vb3G+qdvyYiMcCjwK01VaSqc1Q1XVXT27dvH8CjLYGwd+9ecnNzGTx4MLGxdUwDkZxsPq2nGpVk52YzK3sWAI4YB4+NfyyqvVSofjmVfqq6GnhTRI7K+h9APtWtgG/keFdgu89xCjAIyHJ7SJ2AD0TkXFVdGKD9ljpSUFDAqlWrGDhwIImeftG6YJv/UU1WThalrlLAdCVF8wCVh+rck1uBa4BZfq4Fkk91AdBXRHoB24CLgT94K1A9ALTzHItIFvBnK6ihp7S0lGXLltG7d29atWpVv8ps8z+qyeyZiSAoSmxMbFQPUHmoLp/qNe7POuVVVdUyEZkOfA44gBdVdYWI3A0sVNUP6lKvpX64XC5WrlxJmzZtSE1NrX+F1lONao6UHvEOUlVOSh2tVNf8Pw7IVdU89/Fk4PfAZmCmqu6tqXJV/QT4pNK5O6somxm42Za6smGDWfy8T58+wakwKQlErKhGKW+tfMu773Q5ycrJivo+1epCqmYDJQAi8jvgfmAucACYE3rTLMFm+/bt7N27lwEDBhydbLquxMRAs2a2+R+lHCw+CJjM/vGOeNv8p/o+VYePN3oRMEdV3wbeFpGloTfNEkz279/Ppk2bGD58uP9k0/WheXPrqUYh2bnZ/GeFmVwZIzF25N9Nde6KQ0Q8ojsW+Nrnml2GpRFRWFjIypUr6d+/P82aNQv+A5KTrahGIb5JVOzIfznVieNrwLcisgcoBL4HEJE0TBeApRHgWVa6W7dutGnTJjQPad7cNv+jkBN7nAiYoH/b9C+nutH/e0XkKyAVmKeqnqG9GOC/G8I4S/3Zv38/LVq0oGvXrqF7SEoKHDwYuvotEUnuATNhMrNnJveeeq9t+rupthmvqvP9nFsbOnMswaZdu3asXbuWb7/9NmTPGOxyEb91K4uysmosm5CQQEaG/eVr7GTnZjP5ju9hUTZZLXayrGUyGTUsEhEt2L7RKKCkpITMzMzQPSAtDXbuDOgZWQEIryXymTEDnB88A4Bug+t+r/APmDo1zIZFAHY1VUv9adUK9u0LtxWWBiI7G354YxQmvYfZ1CVMn26uRTtWVC31p3VrOHAAXHaVnWhgzhxAPfmS1L0JZWVgGyJWVC3BoHVrULWDVVFAdjb8859gPFSlfLk6RRWqW808WrCiaqk/nqQs+/eH1w5LyJk7F5xOnxPtV2OE1XiuS5aEw6rIwoqqpf60bm0+bb9qk2fz5orH3XsXEuezYP1LL9l+VSuqlvrjafPt2RNeOywhJTsb5nnX91OIKSFv6J8567/KV+MoKTHebDRjRdVSfzp1Mp95eeG1wxJSsrJ8m/4uGPEizi4/0Gn0PDwLR6hab9WKqqX+WFGNCka41/8QUYgthqH/JN4Rz+Sz+3LppeXlSkujOwrAiqql/qSkmPn/O3aE2xJLCPn+e/M5LHMTXD6WcZkt+GryV2R0y8B3kpzLFd1RAFZULcGhUyfrqTZhsrPhvvsAlCXfm5bJt5vLpz7n+ySoiompeBxtWFG1BIdOnWD79prLWRoln3/umdsh4IyDnExKnaVk5WQBkJkJ8e4oABHrqVos9adXL9i0KdxWWEKEZ6GImBgFRyn0zKqw0F9GBjz0kCnjdMLNN0fvYJUVVUtwSEuD3FwoLg63JZYQ8O23Zjmysy/Og8vHQrf5Ry3055unvKQkegerrKhagkOfPiaexnqrTY6sLPj6aygqgk/eLm/Xexb685CZiTe0Kpq7AKyoWoJDWpr5XLcuvHZYgs5zz5lPVXCWOiAnE4c4jsr2n5EB/+1OXx/NXQBWVC3BYeBA454sXhxuSyxBZssW8+lwgMSW4ej1A1ePuNobTuWLJw2EavR2AVhRtQSHlBQjrD//HG5LLEHk00/hp5/g9NPhmls347rsFJxdf2Dur/7nop5+uvnbCkaEQ5kbPVKxomoJHscfD7/8YtwUS6MnOxsmTjShVN9/D6Xdv4Rupj1f4iyp0J/qiydSwCOu0YYVVUvwOOkkE/W9aFG4LbEEgW++MVNOwXzuXjkQgBiJqXL11Kys8r+p0ZpcxYqqJXice64Z/n3zzXBbYgkCO3eaTxET2N9tyAYA/nriX/32p0LFCIBoTa5iRdUSPNq0gXHjzG+Sb9CipdGRnQ1PPWX2HQ547DFYkfA8rRNbc1bfs6pcjjojA6ZMKT+OxiVWrKhagsvf/ga7d8O994bbEks9eOWV8iXHVGHxhs18u/lb9hXtY+zcsWTnVu1+Tp5shBiic7DKiqoluIweDVddZbJv3H9/eaecpdGgaoL9wQw6xcfD/k7veWdQVTdI5cEzWBWNa0HGhtsASxPkqafM6qp//Ss88wxMmAADBkDnzrTeuBHi4kzHW0yM6bCLiSnf92yWsPHgg+VzOGJiTNN/ZfdN8DN+g/4rk5VVLqZlZWawKsN/b0HDUlgIy5aF/DFWVC1Bp8Dh4rdH/sT2c9LI//pjila/QtmvRThjoCwGPvrIZ4XjIOI/kGtk8B/UhPnyS7jrrvJjVRPQsbb5Wrq16Ma09Glk9syssk8VTHPf4ShfJeCll0yXQLiFdceWldwzfUjIn2NF1RI0Vuxawd++/hsfr/0Yp7p/o3q5tzAx8sPwPbuxMWcOXHddeUiUp+k/+sQSZn77FSNTR9YoqFA+WPXss+bYE1oVblHdngJ3nlpNge+C8xwrqpagsGDbAjJfySQxNpFbTriFk3qcRPeW3Wmb1JZmcc1wxDiIjYnlx+9/5JTMU4iR0HTnCxVd4FEfjgrJc5oa2dlw/fXlgioCp50GM2fCfJ6mxFnCz1t/ZuzcsVWGU/kyeTK8+KIRVE9oVbi91ZGdR/Lz/6t6xl/szODIYUhFVUTGA48DDuB5Vb2/0vU/AVcDZcBuYIqqbj6qIktE43Q5mfzeZNo1a0f2Vdl0TulcZdkERwLxjvgqr1vCw333+S7qZ7q8Z840Ijh99qsAuHB5B6kC8VavvBJmzzbHnnWrwu2tOmIcIX9GyEb/RcQBPA2cCQwALhGRAZWKLQHSVXUI8BbwYKjssYSOj9d9zOo9q3n49IerFVRLZPLkk/ChTzeJw2HGGjMyIGtTFr/t+o0YiQlokMoXz0KBEF3rVoUypOp4YL2qblTVEuB1YKJvAVX9RlUL3Ifzga4htMcSIt5e9TatE1szqd+kcJtiqQXZ2XDhhXDTTeXnROCaa2DqVMjOzWbcv8ZR5irDIQ6uGXFNQE1/D/n5FQM5liwJ8g8QoYRSVLsAuT7HW93nquIq4FN/F0RkqogsFJGFu3fvDqKJlmDwzaZvOKPPGcQ54sJtiiVAvv0Wfvc7eOstc5yQYDzUxETT9wmQlZNFibMEAJe66N6ye8CCCiYKIM7nKxEtU1ZDKar+gmb8Rr2IyKVAOvCQv+uqOkdV01U1vX379kE00VJfdh/ZTe7BXI7rfFy4TbEEQHa2GeGfNMnEkIIZ5b/ySrjnHvjqq/J+z6KyIsAM/tWm2e8hWqeshnKgaivQzee4K3DUcpsichpwO3CyqtoFjhoZS/JMm25E6ogaSlrCSXY2PP64yXXjCcyPizP78fFHj8xn52Zz7/dmqrEjxsFj4x+rlZfqYfJk46EWF5sogGjoVw2lqC4A+opIL2AbcDHwB98CIjIcmA2MV9VdIbTFEiLW5ZupN/3a9QuzJZbKZGeb9H1795pZUb6j+w6HmU3cvbtpplcelX9z5ZveWGNVJb8gv042ZGTAE0/AtdcaAb/5Zhg8OPxRAKEkZKKqqmUiMh34HBNS9aKqrhCRu4GFqvoBprmfDLwppkd7i6qeGyqbLMFn0/5NJMYm0im5U7hNsbjJzjZC9uabFYXUgyeVX3Vxo19u/BKoPndqoHgGrHyXWLGiWkdU9RPgk0rn7vTZPy2Uz7eEnpz9OfRs1ROx8/UbnOxsI1CZmUasXn3VrBI+b17FxRdEjGeqaj6nTKlaULNzs5mZNZNlu8wc+RiJqXPT30NmphkAKyyMjtAqO6PKUi827d9Ez1Y9w21Gk8dXQE84wYzaX3ppeRKwqlawETGC9thjxmP019T3PiM3m1PnnuodoDL11r3p7yEjwzx/2jQjqjfd1LS7AKyoWurFjkM7GN5peLjNaFL4Cmh6uhHQK64wAioCzZvDoUP+742JMd6oy1WzV1qZF5e8WEFQ6zrq7498H10uKjKztTwztpoaVlQtdcalLnYX7KZD8w7hNqVR4CuWHjHJzja5SwcMMMs7z5sHDz9swo88WRF9+0VV4dhjYexY4/2VlbmXjhazHx8fmFdamWcWPMPzS573HsfFxHHV8KuYPHRyvZr+HjIzTSxsYaE5/vJLs5igbwhXU8GKqqXO7C/aT5mrLKpFtSqh9G2q79kDH39sRsBLS40Inn467NoFixdX3XRXhRNPhJNPhgceKBfNJ54wz5o4sfw5cLQdgfLlxi+Z/sl077EgXDX8Kv5x9j9qV1E1ZGQYAb3tNvjuO+NJFxVFRvaqYGNF1VJndh0xUXBNUVSrE8uTTzae5eefw+WXlwvl5ZfDvn3w3nvGu/QMEHmC7D2UlcFPP0HLlhXT7F1xhcnnfdllZuApPt4kOsnIgPHjj7YnI6OiINVWnLJzs3l12au8+uur3qz+ALExsUweOrl2lQVARoZZDOKkk8z7iZTsVcHGiqqlznhEtWPzjmG2pGp81x+sLJRlZfDFF6YpOmAAdO1qYjoXLTLeYFmZEbsxY0wf5tKlVXuVLhc8/zwkJVVsro8eDRdcYOyYObPc2/zUPSF77NhyAb36amNX5841C2h9ydqUxRmvnkGpy4x0xcXE4XQ5iYmJ4akJTwWlye8Pzyyr554zx5GSazWYWFG11Jmte/fAmrNpmxi5nurq1aapXVAA8+cb8RMx4ldQUPP9TqepIympYq7RM8+E444znldZmZmdNG+eSZnnK5T3318uGCeffLRYfvVV6AXUl+83f8/jPz/OZ+s/8wqqQxxcNfwqurfsHlAS6vpy5ZXw8svGw2+K3qoVVUudefnRnvDahyw4cz/DLgu3NVWzeLEZJPFdhG7YMCOUX39tfrFjYkx2pptugg0b4L/+q1wY33vP3OMrlnfcYURg3LjAhBL8i2UoBTQ7N5usnCwye2ay8/BO/v7d31mUtwgw/aZxMXG41EW8Iz5oA1KBkJFhZnN5VgYoLm5a0QBWVC11Zvl8M4tqcXYLiFBRFTFrYkFFUXz4YXPup5/Kz11+OfTvbzZ/whioVxlKoQyE7NxsXvn1FV5a+hKlTuONaqVcRjES06DeaWUmTzbLYHuiAebNM3/gnn7apB1szFhRtdQJVdiztQ0Aq1dF7krnxx5bvShGildZF3w90TJXGW+seIN9hft4Y8Ub5WuE+cETf9qQ3mllPNEAd91l+rXBdKNMm2b2G7OwWlG11IktW6C0MBGATZvCbEw1NG9evt8YhBIqiqVH9Dzn0jun0zKxJR+t/Yj7friPMldZtXUJQpwjDkFMsukYB1OGTQmroHrIyID//V+T9MUTIeFyGWHdsMHE7dYlRCzcWFG11ImVK81ny2OXkrtuGKWlFRMSW46mOrE8ucfJDOgwgM/Xf87l711OqbMUR4yD3/f/PbuO7CJrcxYuddXwBIghBkeMA5e6KggocNSzI4GMDNPk90xhBfP54IPlIWmNrUvAiqqlTqxdaz57pq/k1zXD2LIF+vQJr001UZ2oVRabQMtm52bzTc43jOk2hiEdh3Ck9Ag/bvmR77d8T792/eiS0oX9RftZmreUZxY+Y8KWJIaMbhkcLjnMr3m/HtXf6cHlcvHWqrdoldjKK6iC8MfBf+SsY85iyvtTKHGW4IhxeD3ReEc8j41/jPyC/KN+pkgSU188gukrrGC6mDxdAhs2wMGD5nykRwpYUbXUiTVrgMR99Bm8l1+BzZsjU1R3F+wmKyeLpXlL+cuXf6HMWUasI5a/jPkLpc5SZmXPosxVRmxMLFcMu4JOyZ3YtG8Tr6943SuAJ3U/iaKyIn7Z/gsudSEIHZM7UlxWzL6ifbW2yalO1u9dT1JskldQBeHMtDM5rvNx3P/j/V6B/PKyLxERxs4dS4mzhHhHPNcfdz0Z3TLo0bKHV+QhMj3RQPEI6/TpRkh944E9nquH556DW281IpuXB506wfDh5WtghVt0raha6sTK1U5ou4bePc2Sv5sjdGHxLfu3cMorp1Q4V+Is4Z7v7qlwrtRVynOLn0MQHDEOb1+lU52s2rOKOEec11tUlNTkVOJi4liwfQGKIghn9T2LOEcc769+HxcuYiSG64+7nlszbmVt/lomvT7JK4zv/Nc7ABXE8o7f3UFGtwzGpY07SiC/mvzVUecyumU0Ck80UKZONdmrsrJg/34ToeHy0+PhdFYU2co895yZElxcbOKGR4wwuRB8J4KEEiuqljqxdo1Cu7X07ZWESOSKKgLXjLiG9M7p3PjpjZS5yohzxPHqea8SFxPHRW9fRKmzlHhHPPMum8eJ3U8kOze7gti9e9G7QEUBfHrC00ed+9tJfwPgs/Wfec/9YdAf6NmqJz1b9fQrjIGIZVXnmiK+A4d9+vj3XGvC6YRnnvE9424NNFDKX9HaWBsBpKen68KFC8NtRqMiKyuLTE/WjSBw5AgkJwOn3s7Hz47hmswJnHGGmRnT0LbUhDQX+vXpR/P45hwpOcKhkkOkxKfQPN6EBfg7V9X5+pyz1I0jR8wUYYfDNPf3769PbTmo7qnyqogsUtX0+jwBrKdqqQOeQSrarqVj8/Pp0cOEWEUieqRxOQ2WiqgqJSUlFBYWUlRURGFhoXcrKirC6XSSlJTk3RITE737CQkJxMQ0fAy1FVVLrVm82L3T8Tc6JnekRw9YsCCsJlkaMS6Xi6KiIr+iWVhYiMPhqCCYbdq08R7Hx8dH3FI+VlQttebnnyEppZDCtmvp0LwD3bvDO++YQYUwOAaWRkBZWVmVollcXExCQkIFL7Nly5be49jYxiVTjctaS0Qwfz607bue4ubtiXfE06OHmT+fl2fS1lmiD1WltLTUr2gWFhbidDoriGZycjLt2rXzepzhaKaHCiuqllqxYwcsWwa9zv+Zbm3SAOjRw1zbssWKalPG5XJRXFzsVzSLiooQkQr9m61atSI1NZWkpKSIbKaHCiuqllrxwQfms6DP6/Rt2xcoF9XNm83yIZbGi9Pp9CuanmZ6fHx8hUGhDh06eI8bWzM9VNi3YAkYVXjxRejb18W6Zl+R1vpuALp3N9cjNlbV4sW3me6vj7OsrMzbTE9MTKRZs2a0bdu2STbTQ4UVVUvAfPUV/PIL3PlQHncfgTR3879FC2jdOrKzVUUTqlrtaLqnme4RT08zPTExkYSEhKhppocKK6qWgCgpgRkzTJ9pr8xv4WMY0H6A9/rAgbB8eRgNjDKcTmeVollUVER8fHyFgaEOHTp4j+NsOrGQYkXVUiNOJ1x3nUlY8e678MXOH0iOT2ZQh0HeMoMHw7//bboIrKNTf1SVsrKyKkfTS0tLK4hms2bNKsRvOhyOcP8IUYsVVUu17N5tlkz+/HO4806YNAn+d/ZPnND1BBwx5b+4gwfDgQOQm1vex2qpHlWtcjS90L3OiO9oeosWLejYsaN3tpBtpkcmVlQtftm1C154AR54wKw6Onu2ySKUeyCXpXlL+fspf69QfsgQ87l0qRVVX3yb6f6a63FxcRVG0z2xm57RdCucjQ8rqhYvBw6YwajXXzcriJaWmqWYH3rI9JkCvLb8NQAuGnRRhXuHDzeZ/7//Hs49t6EtDy/VjaaXlJRUGE1PSkqidevWtpnehLGiGqW4XCab+qJFZsvONjOlnE5o08akXLv6ahhQPhbFoeJDPDr/UU7ucbJ35N9Ds2YmRjUrq2F/jobA00yvamBIVSuIpqeZnpiYSGJiovU2owwrqk0Yp9M049esSWH3bli3zmSYWrvWrDF14IApFx9vPM3bbjPr2J9wgv/1pu757h7yDufx3kXv+X3eqafCPfeYZ3boEMIfLAR4knpUNZoeGxtbYWCoXbt2FUbTrXBaPFhRbUSomnXS8/Mrbnv3ms+dO2HbtvJtxw4jrDDSW0eXLnDMMfCHP5iM6OnppmlfXZSNqvLo/Ed56KeHuGbENYzqOspvuQsuMKtjvv463HhjcH/2YFDdaHpJSQkJCQlHTbP07NtmuiVQrKiGAFXTH1lYCEVFZvPsez4LCkzy3crb4cP+zx86ZMSzuLjq57ZoYUSzSxcYO7Z8f+/eZZx99mD69q24ZHMgrMtfx21f3cY7q97h/P7n8+SZT1ZZdtAgI9T/+AfccINJLNyQ+Obe9NfH6XK5KohmcnIy7du3D2vuTUvTo1GKamGhCUb33UpLyz9DtV9aakStskD626/LggpJSZCSYrLqp6SYrUMHs6xEcrLp62zbtnzzPW7TBhIT/deblZXPsGGB2eB0mTWZvt/8Pf9Z+R++zfmWpLgk7ht7HzPGzCBGqheev/3NeKxz5phVMIONbzPdX3Pdk3vT08fpid20zXRLQxFSURWR8cDjgAN4XlXvr3Q9AZiLaZ/mAxepak51dS5ZYgZFQkVsrOljjIszm+9+XJwRLs/WokX5flJSxc+azjVrVlFAk5PNs0NNcVkx+YX57Dy8k11HdrHryC62HNjChn0bWL93PUvylnC45DAAx7Y9lrtOvovr0q+jY3LHgOo//3w4/XS45Rbo2hXOOaf2Nnqa6f5E05N703dgqGXLlt5jm9TDEm5C9g0UEQfwNHA6sBVYICIfqOpKn2JXAftUNU1ELgYeAC46urZy2rZzMfX6Q8QlKHFxSny84ogz+7GxSqxnP05xxLqIi4XYeBexse7jeC3f9ykXG+fCEauImGakonjW7/Lsez5d6qrzVqwuCtVFvrpwupy4Drhw7a/+HqfLSYmzxLuVukorHPs7d6TkCIdLDnOo5BD5B/Mp+bmEwyWHKXWV+n2vnZI70ad1HyYPmcyorqM4oesJ9G3Tt9aenYiZWTVunAmtGj/eCO3gwUZkDx92UFamOJ0lVQ4MeZbI8Iimp5nuGU23zXRLJBOyhf9EJAOYqarj3Md/BVDV+3zKfO4uky0isUAe0F6rMUo6i3JtSExuVCQ4Eoh3xPvd4hxxNItrRkp8CsnxyRzZe4S07mmkJJjjtklt6dC8g3frnNI56AvUFRXBI4+YVS23bTPnhg3bx/Tp6+ncuZDiYgc7diSyfXsSeXlm27Ejkby8JPbvjwdsM93SsBw5EvkL/3UBcn2OtwKVh429ZVS1TEQOAG2BCkseishUYKr7sJiZRErqjnZUsrWhKHb/iwRb/ODXli1b2sQ++mhq3JYtW0oOHTrkDKctYSBS7ABrS1UcG4xKQimq/lyNyh5oIGVQ1TnAHAARWRiMvybBwNriH2tL5NoB1paqEJGFwagnlJ1TW4FuPsddge1VlXE3/1sCe0Nok8VisYSUUIrqAqCviPQSkXjgYuCDSmU+AC53718AfF1df6rFYrFEOiFr/rv7SKcDn2NCql5U1RUicjewUFU/AF4A/iki6zEe6sUBVD0nVDbXAWuLf6wtRxMpdoC1pSqCYkvIRv8tFoslGrEBfxaLxRJErKhaLBZLEIkoURWR8SKyRkTWi8htfq4niMgb7us/i0hPn2t/dZ9fIyLjQmzHn0RkpYj8JiJfiUgPn2tOEVnq3ioPzIXClitEZLfPM6/2uXa5iKxzb5dXvjcEtjzqY8daEdnvcy3Y7+VFEdklIn5jlsXwhNvW30RkhM+1oL2XAOz4o/v5v4nITyIy1Odajogsc7+TeofzBGBLpogc8Pl/uNPnWrX/tyGw5X987Fju/n60cV8L9nvpJiLfiMgqEVkhIjf5KRO874uqRsSGGczaAPQG4oFfgQGVylwPPOvevxh4w70/wF0+AejlrscRQjtOAZq596d57HAfH27gd3IF8JSfe9sAG92frd37rUNpS6Xy/40ZnAz6e3HX9ztgBLC8iusTgE8xVL7b3wAAB1lJREFUsdAnAD+H6L3UZMdoT/3AmR473Mc5QLsGfCeZwEf1/b8Nhi2Vyp6DifwJ1XtJBUa491OAtX5+j4L2fYkkT/V4YL2qblTVEuB1YGKlMhOBV9z7bwFjRUTc519X1WJV3QSsd9cXEjtU9RtVLXAfzsfE4IaCQN5JVYwDvlDVvaq6D/gCGN+AtlwCvFaP51WLqn5H9THNE4G5apgPtBKRVIL8XmqyQ1V/cj8HQvtdCeSdVEV9vmfBsCXU35UdqrrYvX8IWIWZzelL0L4vkSSq/qa1Vv7BK0xrBTzTWgO5N5h2+HIV5i+ch0QRWSgi80VkUh1tqK0tv3c3Wd4SEc+Ei2C+k1rV5+4O6QV87XM6mO8lEKqyN9jvpTZU/q4oME9EFomZit0QZIjIryLyqYi4Vx4L3zsRkWYYkXrb53TI3ouYLsPhwM+VLgXt+xJJedLqM601oOmuQbTDFBS5FEgHTvY53V1Vt4tIb+BrEVmmqhtCaMuHwGuqWiwi12E8+VMDvDfYtni4GHhLVX3n9wfzvQRCQ3xXAkZETsGI6ok+p8e430kH4AsRWe328ELFYqCHqh4WkQnAe0BfwvRO3JwD/Kiqvl5tSN6LiCRjxPtmVT1Y+bKfW+r0fYkkT7U+01oDuTeYdiAipwG3A+eqqjeziapud39uBLIwfxXrSo22qGq+z/Ofo3ztlGC+k9rWdzGVmnNBfi+BUJW9wX4vNSIiQ4DngYmqmu857/NOdgHvUvcuq4BQ1YOqeti9/wkQJyLtCMM78aG670rQ3ouIxGEE9V+q+o6fIsH7vgSrMzgIncmxmE7gXpR3lg+sVOYGKg5U/ce9P5CKA1UbqftAVSB2DMd07PetdL41kODebwesox4d/gHakuqzfx4wX8s72De5bWrt3m8TSlvc5Y7FDDRIqN6LT709qXpQ5iwqDjz8Eor3EoAd3TF9/KMrnW8OpPjs/wSMD/E76eT5f8EI1Rb3+wno/zaYtrive5yi5qF8L+6fcS7wWDVlgvZ9qddLC/aGGYFbixGs293n7sZ4gwCJwJvuL+kvQG+fe29337cGODPEdnwJ7ASWurcP3OdHA8vcX8plwFUN8E7uA1a4n/kN0M/n3inud7UeuDLUtriPZwL3V7ovFO/lNWAHUIrxJq4CrgOuc18XTJL0De5npofivQRgx/PAPp/vykL3+d7u9/Gr+//v9gZ4J9N9vivz8RF6f/+3obTFXeYKzACz732heC8nYprsv/n8P0wI1ffFTlO1WCyWIBJJfaoWi8XS6LGiarFYLEHEiqrFYrEEESuqFovFEkSsqFosFksQsaJqsVgsQcSKqiVgfNL3LReRN93ztmtbx/MiMsC9/7dK134Kkp1Z7jR259biniT3z1binmUU6H2fich+EfmoDnbWmJLO0viwcaqWgBGRw6qa7N7/F7BIVR8JRn3BRESygD+raq1zcYpIDibwO6C16EVkLNAMuFZVz67ls1IxM+IWi0gKsAiYpKora2m2JYKwnqqlrnwPpIE3afdy93az+1xzEfnYnRFpuYhc5D6fJSLpInI/4PEO/+W+dtj9KSLykPu+ZT73Zrrvf0tEVovIv9ypH6vFfc+jIvKd2ys8TkTecScd/nsA9x/nzgKW6P65VojIIABV/Qo45OeekSLyrTvT0uduAa2ABpaSztLIiKQsVZZGgjuZzZnAZyIyErgSGIWZ6veziHyLmW64XVXPct/T0rcOVb1NRKar6jA/jzgfGAYMxeQKWCAinixFwzG5HrYDPwJjgB8CMLtEVX/nbmK/j0k8sxfYICKPqk+ik8qo6gIxqxX8HUgCXlVVvxnt3T9rHPAkJoHKbvcfhXsx0x2ruqcn/lPSWRoZVlQttSFJRJa697/HLDE+DXhXVY8AiMg7wEnAZ8DDIvIAJtv897V4zomYdIZOYKdbpI8DDmISXWx1P2spJmlHIKLqWcJlGbBCVXe469iIyUJUpai6uRtYABQBN9ZQ9lhgECZtHZjM+juqKlxDSjpLI8OKqqU2FFb2LKtqfqvqWrcXOwG4T0TmqerdAT6nuiZ9sc++k8C/w577XJXqcAVYRxsgGYjDJPY5Uk1ZwQh3RoWTJoH4h+7DZ1X12QBS0lkaGbZP1VJfvgMmiUgzEWmOST/4vYh0BgpU9VXgYcx6RZUpdYuKvzovEhGHiLTHrHf0S4jsD5Q5wP8D/gU8UEPZNUB7EckA0x0gIgNVNVdVh7m3Z91/kF4AVtVnwM8SWVhP1VIv3CPXL1Mues+r6hIxK9o+JCIuTPq3aX5unwP8JiKLVfWPPuffBTIw6d8UmKGqeSLSL2Q/SDWIyGSgTFX/LSIO4CcROVVVvxaR74F+QLKIbMWkNfxcRC4AnnD3JccCj2FS2fkyBv5/O3dwAiAQAwFwG7URq7En+7AE9XEf8SlRMMxUcK8lF5ZkSrJe1irzMQ5I81MqVbTzZaUK7nz/6WhLsjwp/2fsTPfXXkZ7JlWAQiZVgEJCFaCQUAUoJFQBCp1xtKSm1XF5UgAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 360x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "info={}\n",
    "info['label1'] = {'label':'OX','scale':1}\n",
    "info['label2'] = {'label':'HOX  ','scale':5e-5}\n",
    "info['label3'] = {'label':'CH4X ','scale':5e-3}\n",
    "info['xlabel'] = 'Position [m] x1e-2'\n",
    "info['ylabel'] = 'Site Fraction'\n",
    "info['zoom'] = [0.55, 0.8, 0.0, 0.35]\n",
    "info['loc_zoom'] = [0.5, 0.1, 0.47, 0.6]\n",
    "info['loc_x'] = 0.5\n",
    "info['loc_y'] = 0.95\n",
    "# info['zoom_scale'] = 10\n",
    "info['xlim'] = [0.,0.02*100]\n",
    "info['ylim'] = [0.,1]\n",
    "x  = solTchem[:,Header.index('t')]\n",
    "y1 = solTchem[:,Header.index('OX(7)')]\n",
    "y2 = solTchem[:,Header.index('HOX(9)')]\n",
    "y3 = solTchem[:,Header.index('CH4X(19)')]\n",
    "\n",
    "makePlotV2(x*100, y1, y2, y3, info, 'surf2.pdf')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 360x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "info={}\n",
    "scale =100\n",
    "info['label1'] = {'label':'X','scale':1}\n",
    "info['label2'] = {'label':'OCX','scale':1e-4}\n",
    "info['label3'] = {'label':'CX','scale':5e-8}\n",
    "info['xlabel'] = 'Position [m] x1e-2'\n",
    "info['ylabel'] = 'Site Fraction'\n",
    "info['zoom'] = [0.55, 0.8, 0.0, 0.6]\n",
    "info['loc_zoom'] = [0.5, 0.1, 0.47, 0.6]\n",
    "info['loc_x'] = 0.5\n",
    "info['loc_y'] = 0.9\n",
    "info['zoom_scale'] = 2.3\n",
    "info['xlim'] = [0.,0.025*scale]\n",
    "info['ylim'] = [0.,0.8]\n",
    "info['loc_zoom'] = [0.4, 0.02, 0.47, 0.6]\n",
    "\n",
    "y1 = solTchem[:,Header.index('X(1)')]\n",
    "y2 = solTchem[:,Header.index('OCX(15)')]\n",
    "y3 = solTchem[:,Header.index('CX(16)')]\n",
    "# makePlot(x, y1, y2, y3, info, \"surf1.pdf\")\n",
    "makePlotV2(x*scale, y1, y2, y3, info, 'surf1.pdf')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 360x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "info={}\n",
    "info['label1'] = {'label':'NO','scale':1e-2}\n",
    "info['label2'] = {'label':'NO2','scale':1e-4}\n",
    "info['label3'] = {'label':'NOX','scale':1}\n",
    "info['xlabel'] = 'Position [m] x1e-2'\n",
    "info['ylabel'] = 'Mass Fraction/Site fraction'\n",
    "info['zoom'] = [0.55, 0.8, 0.105, 0.1065]\n",
    "info['loc_x'] = 0.5\n",
    "info['loc_y'] = 0.95\n",
    "info['zoom_scale'] = 1.5\n",
    "info['xlim'] = [0.,0.02*100]\n",
    "info['ylim'] = [0.,0.22]\n",
    "info['loc_zoom'] = [0.5, 0.1, 0.47, 0.6]\n",
    "\n",
    "y1 = solTchem[:,Header.index('NO(4)')]\n",
    "y2 = solTchem[:,Header.index('NO2J(49)')]\n",
    "y3 = solTchem[:,Header.index('NOX(20)')]\n",
    "makePlotV2(x*100, y1, y2, y3, info, 'surfgas1.pdf')"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.7.6"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}
